Snowflake

A data warehouse built for the cloud

Integrate the Snowflake API with the Python API

Setup the Snowflake API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Snowflake and Python remarkably fast. Free for developers.

Run Python Code with Python API on New Row from Snowflake API
Snowflake + Python
 
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Run Python Code with Python API on Query Results from Snowflake API
Snowflake + Python
 
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New Query Results from the Snowflake API

Emit new event with the results of an arbitrary query

 
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New Row from the Snowflake API

Emit new event when a row is added to a table

 
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Insert Row with the Snowflake API

Insert a row into a table

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Connect Snowflake

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module.exports = defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    // Example query
    const sqlText = `SELECT CURRENT_TIMESTAMP();`
    
    const { promisify } = require('util')
    const snowflake = require('snowflake-sdk')
    
    const connection = snowflake.createConnection(this.snowflake.$auth)
    
    const connectAsync = promisify(connection.connect)
    
    try {
      await connectAsync()
    } catch (err) {
      console.error('Unable to connect: ' + err.message)
    }
    
    // util.promisify requires the last argument of the function you pass to 
    // it be the callback function, according to Node convention — see the docs at
    // https://nodejs.org/dist/latest-v8.x/docs/api/util.html#util_util_promisify_original .
    // Since Snowflake's connection.execute function accepts a single argument — 
    // options, an object — using promisify won't work. So we wrap the callback 
    // with a Promise and await it below.
    //
    // Pass the same options object (e.g. sqlText, binds), _except_ for the callback
    // parameter. Instead, you'll want to await the result, which contains the 
    // stmt and rows object the callback version of the function passes, using 
    // a catch block to catch any errors, e.g.
    //
    //   try {
    //     const { stmt, rows } = await connExecuteAsync({
    //       sqlText: `insert into your_table select parse_json('{"foo": "bar"}')`,
    //     })
    //   } catch (err) {
    //     console.error(`Failed to execute statement due to the following error: ${err.message}`)
    //   }
    //
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        const statement = connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    try {
      const { stmt, rows } = await connExecuteAsync({
        sqlText,
        fetchAsString: ['Number', 'Date'],
      })
      console.log(JSON.stringify(rows, null, 2))
    } catch (err) {
      console.error(`Failed to execute statement due to the following error: ${err.message}`)
    }
  },
})

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}